{
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  "executionReason": "The authoritative standards publication and exact claim passage require a dedicated current primary-source review before mutation.",
  "proposedCorrection": "Qualify the paragraph as a scenario, proposal, historical claim, or unresolved currentness issue; bind it to a competent primary source before broader public reuse.",
  "exactBeforePassage": "A robust global search must return highly structured, contextual results that immediately explain why a document matches the user's query. Presenting bare page titles is insufficient for a complex national portal, as users cannot easily distinguish between a page detailing the history of a region versus a page providing statistical data about that same region. The search index enriches every page with metadata tags (data-pagefind-meta and data-pagefind-weight) to categorize the content during the build phase10. Results are subsequently displayed with clear, color-coded typographic badges indicating the content type, alongside a contextual snippet that highlights the matching terms. Furthermore, this system is underpinned by semantic markup utilizing Schema.org JSON-LD vocabularies, ensuring that both internal search engines and external web crawlers accurately interpret the data19. Table: Search Result Typology and Metadata Mapping",
  "exactAfterPassage": "A robust global search must return highly structured, contextual results that immediately explain why a document matches the user's query. Presenting bare page titles is insufficient for a complex national portal, as users cannot easily distinguish between a page detailing the history of a region versus a page providing statistical data about that same region. The search index enriches every page with metadata tags (data-pagefind-meta and data-pagefind-weight) to categorize the content during the build phase10. Results are subsequently displayed with clear, color-coded typographic badges indicating the content type, alongside a contextual snippet that highlights the matching terms. Furthermore, this system is underpinned by semantic markup utilizing Schema.org JSON-LD vocabularies, ensuring that both internal search engines and external web crawlers accurately interpret the data19. Table: Search Result Typology and Metadata Mapping",
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      "publisher": "W3C",
      "sourceUrl": null,
      "verificationMethod": "NOT_VERIFIED_THIS_ROUND",
      "authoritativeSourceAvailability": "NOT_DETERMINED",
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      "reusedLocalEvidenceOnly": true
    },
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  "downstreamEffectsResolved": false,
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  "machineReadableUrl": "/api/claim-correction-execution/evi-clsa-c-0670-deferred.json",
  "truthBoundary": "Controlled execution decision only. Submitted source bytes and active corrected report bodies remain unchanged; no decision certifies an entire report, creates present capability, or establishes legal effect.",
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